apparent

Operational document infrastructure

Documents ready for AI.

Structured, source-linked data from the documents your operations already run on.Book a call

Operational document infrastructure

Documents ready for AI.

Structured, source-linked data from the documents your operations already run on.

Book a call

The problem

“We inherit 15 TB of unstructured documents per acquisition, blocking our entire ops team.
Head of Product · Buena

Operational reality

80–90%

of business data is unstructured.

EmailsContractsScansCorrespondence

Rollup technology cost grows

€189k

by year five.
4 acquisitions / year
€136k
Y1
€149k
Y2
€162k
Y3
€175k
Y4
€189k
Y5

The solution

We extract source-linked data.

  1. 01Classify
  2. 02Sort
  3. 03Extract
Source document
Structured outputDocument typeLease agreementPartiesTenant · landlordDatesStart · end · renewalAmountsRent · deposit

We run cloud + operations. The reusable catalogue grows with every customer.

The platform

From upload to usable data.

Review document families, validate extracted fields, and send structured records into the systems your team already uses.

The platform

From upload to usable data.

Review document families, validate extracted fields, and send structured records into the systems your team already uses.

Capabilities

What works now. What comes next.

A managed document workflow today, with the next capabilities shaped by operational evidence.

Available now

In the current product
  1. Google Drive import

    Connect a customer-controlled folder and choose when processing starts.

  2. Classification and sorting

    Process PDFs into matched, other, or review-required paths.

  3. Human review

    Resolve uncertain results with source evidence and an audit trail.

  4. Priority processing

    Upload one PDF ahead of archive work and follow its result.

  5. Run operations

    Monitor progress, failures, document history, and sorted delivery.

On the roadmap

Direction, not release dates
  1. Structured extraction

    Source-linked fields for more document families.

  2. Catalogue learning

    Evidence-gated learning and historical reclassification.

  3. More integrations

    Additional source and destination systems.

Scope and sequence follow customer evidence.

Competitive landscape

Choose what you want to own.

RequirementapparentIn-housePlatform
Local hosting
Built for real estate
No ongoing maintenance
Ready in days

The team

Built for the problem.

Olivia, CEO

Olivia

CEO
START Berlin

Head of Growth#1 growth + engagement · 20 chapters

Plug and Play

VC + fundraisingexperience

Simon, CTO

Simon

CTO
IMAGO

Lead Software Engineer10,000+ images / day

OpenClaw

Open sourcecontributor

3+ months building togetherPart of HPI EngineEducated at CODE

Bring us your document backlog

Make your documents usable.

Book a call